Crowd sourced mapping system

ABSTRACT

A crowd-sourced modeling system to perform operations that include: receiving image data that comprises image attributes; accessing a 3D model based on at least the image attributes of the image data, wherein the 3D model comprises a plurality of parts that collectively depict an object or environment; identifying a change in the object or environment based on a comparison of the image data with the plurality of parts of the 3D model, the change corresponding to a part of the 3D model from among the plurality of parts; and generating an update to the part of the 3D model based on the image attributes of the image data.

PRIORITY CLAIM

This application is a continuation of and claims the benefit of priorityof U.S. patent application Ser. No. 16/447,591, filed Jun. 20, 2019,which is herein incorporated by reference in its entirety.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally tothree-dimensional (3D) modeling, and more particularly, to systems forgenerating 3D models.

BACKGROUND

Augmented reality (AR) is an interactive experience of a real-worldenvironment where the objects that reside in the real-world environmentare enhanced by computer-generated perceptual information, sometimesacross multiple sensory modalities. The overlaid sensory information(i.e., media content) can be constructive (i.e., additive to the naturalenvironment) or destructive (i.e., masking of the natural environment)and is seamlessly interwoven with the physical world such that it isperceived as an immersive aspect of the real-world environment.Accordingly, in order to accurately and seamlessly present the overlaidsensory information within a presentation of the real-world environment,AR systems may employ 3D models of the real-world environment.

In computer graphics, 3D modeling is the process of developing amathematical representation of a surface of an object or environment inthree dimensions. Typically, 3D models depicting objects andenvironments are generated using voluminous reference data depictingthose objects and environments. As a result, one aspect of 3D modellingmay be the method and type of reference data that is collected. Forexample, to generate a 3D model depicting a real-world object, existingtechniques may necessitate the production of image data useable togenerate the 3D model.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

To easily identify the discussion of any particular element or act, themost significant digit or digits in a reference number refer to thefigure number in which that element is first introduced.

FIG. 1 is a block diagram showing an example messaging system forexchanging data (e.g., messages and associated content) over a networkin accordance with some embodiments, wherein the messaging systemincludes a crowd-sourced modeling system.

FIG. 2 is block diagram illustrating further details regarding amessaging system, according to example embodiments.

FIG. 3 is a block diagram illustrating various modules of acrowd-sourced modeling system, according to certain example embodiments.

FIG. 4 is a flowchart illustrating a method for crowd-sourcing updatesto a 3D model, according to certain example embodiments.

FIG. 5 is a flowchart illustrating a method for crowd-sourcing updatesto a 3D model, according to certain example embodiments.

FIG. 6 is a flowchart illustrating a method for crowd-sourcing updatesto a 3D model, according to certain example embodiments.

FIG. 7 is a flowchart illustrating a method for crowd-sourcing updatesto a 3D model, according to certain example embodiments.

FIG. 8 is a diagram depicting an object at a location in an environmentthat corresponds with a 3D model, according to certain exampleembodiments.

FIG. 9 is an interface diagram depicting augmented-reality contentpresented at a client device, according to certain example embodiments.

FIG. 10 is an interface diagram depicting augmented reality contentpresented at a client device to incentivize a user to capture and recordimages of an object responsive to detecting a change in the object,according to certain example embodiments.

FIG. 11 is a block diagram illustrating a representative softwarearchitecture, which may be used in conjunction with various hardwarearchitectures herein described and used to implement variousembodiments.

FIG. 12 is a block diagram illustrating components of a machine,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.

DETAILED DESCRIPTION

As discussed above, 3D modelling includes the process of developing amathematical representation of a surface based on reference data thatmay include image data. For example, a 3D modelling system may access animage repository that comprises a collection if images depicting anobject or environment and generate a 3D model of the object orenvironment based on the collection of images. Accordingly, the 3D modelcan be associated with a set of coordinates in order to improve theaccuracy and realism of AR content overlaid upon a presentation of areal-world location of the object or environment.

As an illustrative example, a 3D model of a structure at a real-worldlocation can be associated with a set of coordinates, such that ARcontent presented at devices may more seamlessly and realisticallyinteract with the environment based on the 3D model of the structure.Accordingly, example embodiments described herein therefore relate tosystems and methods for crowd sourcing reference data (i.e., images andvideos) to generate and update location specific 3D models.

A crowd-sourced modeling system performs operations that include:

receiving image data that comprises image attributes; accessing a 3Dmodel based on at least the image attributes of the image data, whereinthe 3D model comprises a plurality of parts that collectively depict anobject or environment; identifying a change in the object or environmentbased on a comparison of the image data with the plurality of parts ofthe 3D model, the change corresponding to a part of the 3D model fromamong the plurality of parts; and generating an update to the part ofthe 3D model based on the image attributes of the image data.

Generating the update to the part of the 3D model may include accessinga repository that comprises a collection of image data associated withthe object or environment depicted by the 3D model. For example, thecrowd-sourced modeling system may collect image data from a plurality ofdevices, wherein the image data comprises image metadata that includestemporal data (timestamps), and location data (such as coordinates).Responsive to detecting a change in the object or environment based onthe image data, the crowd-sourced modeling system accesses therepository to retrieve image data based on the location of the object orenvironment. According to certain embodiments, the image data retrievedfrom the repository may also be based on the timestamps, such that the“most recent,” and therefore most accurate, image data can be retrievedto generate up-to-date updates to the 3D model.

In some example embodiments, the crowd-sourced modeling system maycollect images of an object or real-world environment by incentivizingor otherwise guiding users of a plurality of client devices to alocation that corresponds to a 3D model, responsive to detecting achange in a 3D model at the location. For example, responsive todetecting a change in an environment, the crowd-sourced modeling systemmay identify a plurality of devices within a threshold distance of thelocation of a 3D model, and present AR content to incentivize users ofthe plurality of devices to go to the location of the 3D model.

Consider an illustrative example from a user perspective. A user of aclient device may access and display AR content within an interfaceconfigured to display AR content at the client device. For example, theinterface may present image data captured by a camera associated withthe client device, wherein the image data depicts a real-worldenvironment (i.e., a street, a room, etc.). To present the AR contentwithin the interface, the crowd-sourced modeling system may access oneor more 3D models depicting objects and surfaces of the real-worldenvironment. For example, the 3D models may be associated with thereal-world location based on geo-location coordinates or based on imagerecognition techniques applied to the image data presented within theinterface at the client device.

Responsive to accessing the 3D models depicting objects and surfaces ofthe real-world environment, the crowd-sourced modeling system identifiesa change in the real-world environment based on a comparison of theimage data that depicts the real-world environment, with the 3D modelsdepicting the objects and surfaces of the real-world environment. Forexample, a new structure or object may have been placed in thereal-world environment, and as a result, the 3D models may no longeraccurately depict the objects or surfaces of the real-world environment.

Based on the determination that the real-world environment has changed,and as a result the 3D models are no longer accurate, the crowd-sourcedmodeling system identifies one or more devices within a thresholddistance of the real-world environment, and presents a notification atthe one or more devices to incentivize the one or more devices to go tothe real-world location. For example, in some embodiments thenotification may include AR content to guide a user of a client deviceto the real-world location.

Responsive to detecting a client device at the real-world location, thecrowd-sourced modeling system may request that a user of a client devicecapture images of a portion of the real-world location that correspondswith the change. For example, the crowd-sourced modeling system maycause display of an interface that indicate areas in the real-worldlocation that have changed. Responsive to receiving images from theplurality of client devices, the crowd-sourced modeling system generatesan update to the effected 3D models, therefore enabling the system tomore realistically present the AR content within the interface.

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes multiple client devices 102, each ofwhich hosts a number of applications including a messaging clientapplication 104. Each messaging client application 104 iscommunicatively coupled to other instances of the messaging clientapplication 104 and a messaging server system 108 via a network 106(e.g., the Internet).

Accordingly, each messaging client application 104 is able tocommunicate and exchange data with another messaging client application104 and with the messaging server system 108 via the network 106. Thedata exchanged between messaging client applications 104, and between amessaging client application 104 and the messaging server system 108,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality viathe network 106 to a particular messaging client application 104. Whilecertain functions of the messaging system 100 are described herein asbeing performed by either a messaging client application 104 or by themessaging server system 108, it will be appreciated that the location ofcertain functionality either within the messaging client application 104or the messaging server system 108 is a design choice. For example, itmay be technically preferable to initially deploy certain technology andfunctionality within the messaging server system 108, but to latermigrate this technology and functionality to the messaging clientapplication 104 where a client device 102 has a sufficient processingcapacity.

The messaging server system 108 supports various services and operationsthat are provided to the messaging client application 104. Suchoperations include transmitting data to, receiving data from, andprocessing data generated by the messaging client application 104. Insome embodiments, this data includes, message content, client deviceinformation, geolocation information, media annotation and overlays,message content persistence conditions, social network information, andlive event information, as examples. In other embodiments, other data isused. Data exchanges within the messaging system 100 are invoked andcontrolled through functions available via GUIs of the messaging clientapplication 104.

Turning now specifically to the messaging server system 108, anApplication Program Interface (API) server 110 is coupled to, andprovides a programmatic interface to, an application server 112. Theapplication server 112 is communicatively coupled to a database server118, which facilitates access to a database 120 in which is stored dataassociated with messages processed by the application server 112.

Dealing specifically with the Application Program Interface (API) server110, this server receives and transmits message data (e.g., commands andmessage payloads) between the client device 102 and the applicationserver 112. Specifically, the Application Program Interface (API) server110 provides a set of interfaces (e.g., routines and protocols) that canbe called or queried by the messaging client application 104 in order toinvoke functionality of the application server 112. The ApplicationProgram Interface (API) server 110 exposes various functions supportedby the application server 112, including account registration, loginfunctionality, the sending of messages, via the application server 112,from a particular messaging client application 104 to another messagingclient application 104, the sending of media files (e.g., images orvideo) from a messaging client application 104 to the messaging serverapplication 114, and for possible access by another messaging clientapplication 104, the setting of a collection of media data (e.g.,story), the retrieval of a list of friends of a user of a client device102, the retrieval of such collections, the retrieval of messages andcontent, the adding and deletion of friends to a social graph, thelocation of friends within a social graph, opening and application event(e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications andsubsystems, including a messaging server application 114, an imageprocessing system 116, a social network system 122, and a crowd-sourcedmodeling system 124. The messaging server application 114 implements anumber of message processing technologies and functions, particularlyrelated to the aggregation and other processing of content (e.g.,textual and multimedia content) included in messages received frommultiple instances of the messaging client application 104. As will bedescribed in further detail, the text and media content from multiplesources may be aggregated into collections of content (e.g., calledstories, galleries, or collections). These collections are then madeavailable, by the messaging server application 114, to the messagingclient application 104. Other processor and memory intensive processingof data may also be performed server-side by the messaging serverapplication 114, in view of the hardware requirements for suchprocessing.

The application server 112 also includes an image processing system 116that is dedicated to performing various image processing operations,typically with respect to images or video received within the payload ofa message at the messaging server application 114.

The social network system 122 supports various social networkingfunctions services and makes these functions and services available tothe messaging server application 114. To this end, the social networksystem 122 maintains and accesses an entity graph 304 within thedatabase 120. Examples of functions and services supported by the socialnetwork system 122 include the identification of other users of themessaging system 100 with which a particular user has relationships oris “following,” and also the identification of other entities andinterests of a particular user.

The application server 112 is communicatively coupled to a databaseserver 118, which facilitates access to a database 120 in which isstored data associated with messages processed by the messaging serverapplication 114.

FIG. 2 is block diagram illustrating further details regarding themessaging system 100, according to example embodiments. Specifically,the messaging system 100 is shown to comprise the messaging clientapplication 104 and the application server 112, which in turn embody anumber of some subsystems, namely an ephemeral timer system 202, acollection management system 204 and an annotation system 206.

The ephemeral timer system 202 is responsible for enforcing thetemporary access to content permitted by the messaging clientapplication 104 and the messaging server application 114. To this end,the ephemeral timer system 202 incorporates a number of timers that,based on duration and display parameters associated with a message,collection of messages, or graphical element, selectively display andenable access to messages and associated content via the messagingclient application 104. Further details regarding the operation of theephemeral timer system 202 are provided below.

The collection management system 204 is responsible for managingcollections of media (e.g., a media collection that includes collectionsof text, image video and audio data). In some examples, a collection ofcontent (e.g., messages, including images, video, text and audio) may beorganized into an “event gallery” or an “event story.” Such a collectionmay be made available for a specified time period, such as the durationof an event to which the content relates. For example, content relatingto a music concert may be made available as a “story” for the durationof that music concert. The collection management system 204 may also beresponsible for publishing an icon that provides notification of theexistence of a particular collection to the user interface of themessaging client application 104.

The collection management system 204 furthermore includes a curationinterface 208 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface208 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certainembodiments, compensation may be paid to a user for inclusion of usergenerated content into a collection. In such cases, the curationinterface 208 operates to automatically make payments to such users forthe use of their content.

The annotation system 206 provides various functions that enable a userto annotate or otherwise modify or edit media content, such as usersupport content received by the user to be forwarded or redistributed toone or more recipients. For example, the annotation system 206 providesfunctions related to the generation and publishing of media overlays formessages processed by the messaging system 100. The annotation system206 operatively supplies a media overlay to the messaging clientapplication 104 based on a geolocation of the client device 102. Inanother example, the annotation system 206 operatively supplies a mediaoverlay to the messaging client application 104 based on otherinformation, such as, social network information of the user of theclient device 102. A media overlay may include audio and visual contentand visual effects, as well as augmented reality overlays. Examples ofaudio and visual content include pictures, texts, logos, animations, andsound effects, as well as animated facial models, image filters, andaugmented reality media content. An example of a visual effect includescolor overlaying. The audio and visual content or the visual effects canbe applied to a media content item (e.g., a photo or video or livestream) at the client device 102. For example, the media overlayincluding text that can be overlaid on top of a photograph generatedtaken by the client device 102. In another example, the media overlayincludes an identification of a location overlay (e.g., Venice beach), aname of a live event, or a name of a merchant overlay (e.g., BeachCoffee House). In another example, the annotation system 206 uses thegeolocation of the client device 102 to identify a media overlay thatincludes the name of a merchant at the geolocation of the client device102. The media overlay may include other indicia associated with themerchant. The media overlays may be stored in the database 120 andaccessed through the database server 118.

In one example embodiment, the annotation system 206 provides auser-based publication platform that enables users to select ageolocation on a map, and upload content associated with the selectedgeolocation. The user may also specify circumstances under which aparticular media overlay should be offered to other users. Theannotation system 206 generates a media overlay that includes theuploaded content and associates the uploaded content with the selectedgeolocation.

In another example embodiment, the annotation system 206 provides amerchant-based publication platform that enables merchants to select aparticular media overlay associated with a geolocation. For example, theannotation system 206 associates the media overlay of a highest biddingmerchant with a corresponding geolocation for a predefined amount oftime

FIG. 3 is a block diagram illustrating components of the crowd-sourcedmodeling system 124 that configure the crowd-sourced modeling system 124to perform operations that include: receiving image data that comprisesimage attributes; accessing a 3D model based on at least the imageattributes of the image data, wherein the 3D model comprises a pluralityof parts that collectively depict an object or environment; identifyinga change in the object or environment based on a comparison of the imagedata with the plurality of parts of the 3D model, the changecorresponding to a part of the 3D model from among the plurality ofparts; and generating an update to the part of the 3D model based on theimage attributes of the image data, according to certain exampleembodiments.

The crowd-sourced modeling system 124 is shown as including an imagemodule 302, a modeling module 304, an AR module 306, and a presentationmodule 308, all configured to communicate with each other (e.g., via abus, shared memory, or a switch). Any one or more of these modules maybe implemented using one or more processors 310 (e.g., by configuringsuch one or more processors to perform functions described for thatmodule) and hence may include one or more of the processors 310.

Any one or more of the modules described may be implemented usinghardware alone (e.g., one or more of the processors 310 of a machine) ora combination of hardware and software. For example, any moduledescribed of the crowd-sourced modeling system 124 may physicallyinclude an arrangement of one or more of the processors 310 (e.g., asubset of or among the one or more processors of the machine) configuredto perform the operations described herein for that module. As anotherexample, any module of the crowd-sourced modeling system 124 may includesoftware, hardware, or both, that configure an arrangement of one ormore processors 310 (e.g., among the one or more processors of themachine) to perform the operations described herein for that module.Accordingly, different modules of the crowd-sourced modeling system 124may include and configure different arrangements of such processors 310or a single arrangement of such processors 310 at different points intime. Moreover, any two or more modules of the crowd-sourced modelingsystem 124 may be combined into a single module, and the functionsdescribed herein for a single module may be subdivided among multiplemodules. Furthermore, according to various example embodiments, modulesdescribed herein as being implemented within a single machine, database,or device may be distributed across multiple machines, databases, ordevices.

FIG. 4 is a flowchart illustrating a method 400 for crowd-sourcingupdates to a 3D model, according to certain example embodiments.Operations of the method 400 may be performed by the modules describedabove with respect to FIG. 3. As shown in FIG. 4, the method 400includes one or more operations 402, 404, 406, and 408.

At operation 402, the image module 302 receives image data thatcomprises image attributes. The image module 302 may receive the imagedata depicting a real-world environment from a camera associated withthe client device 102. For example, a user of the client device 102 maycapture image data to be presented within a graphical user interface ofthe client device 102.

According to some example embodiments, the client device 102 may includeone or more processors configured through a set of instructions toreceive and display AR content within a presentation of image data thatdepicts a real-world environment. For example, the AR content may beoverlaid within the presentation of the image data based on one or more3D models accessed by the client device 102, wherein the 3D modelsdepict objects and surfaces of the real-world environment.

At operation 404, responsive to the image module 302 receiving the imagedata that comprises the image attributes from the client device 102, theAR module 306 accesses a 3D model based on at least the image attributesof the image data, wherein the 3D model comprises a plurality of partsthat collectively depict the environment depicted by the image data.

In some embodiments, the AR module 306 may access a repository thatcomprises a plurality of 3D models, and accesses one or more 3D modelsbased on the image attributes of the image data. For example, the ARmodule 306 may apply one or more image recognition techniques toidentify a location or object based on the image attributes, and thenaccesses a 3D model associated with the location or object. In someembodiments, the image data may include image metadata that includeslocation data. In such embodiments, the AR module 306 may access a 3Dmodel associated with a location identified by the location data. The 3Dmodel may include a 3D mesh that provides an indication of a surface ofan object or environment.

In some embodiments, each 3D model may include an associated set ofreference points to define a position and orientation in which the 3Dmodel is to be positioned within a real-world environment. The referencepoints may for example be based on image data used to generate the 3Dmodel. The AR module 306 may generate sets of reference points to beassociated with vertices of the 3D model so that the 3D model can berepeatably and accurately applied to a real-world location.

At operation 406, the modeling module 304 detects a change in theenvironment based on a comparison of the image data with the 3D model.In some embodiments, the change may be based on a comparison of theimage data with the set of reference points associated with the 3Dmodel. For example, the change may indicate that an object or structurewithin the real-world location has changed in some way since the 3Dmodel was initially created, and as a result, the 3D model is no longeran accurate representation of the real-world location.

At operation 408, responsive to the modeling module 304 detecting achange in the environment based on the image data, the modeling module304 generates an update to a part of the 3D model based on at least theimage attributes of the image data. In some embodiments, the AR module306 may generate an updated set of reference points to defineorientation and positioning of the updated 3D model, based on the imageattributes of the image data.

FIG. 5 is a flowchart illustrating a method 500 for crowd-sourcingupdates to a 3D model, according to certain example embodiments.Operations of the method 500 may be performed by the modules describedabove with respect to FIG. 3. As shown in FIG. 5, the method 500includes one or more operations 502, and 504, that may be performed as apart of the method 400 depicted in FIG. 4. For example, the method 500may be performed as a subroutine of operation 408 of the method 400depicted in FIG. 4.

At operation 502, responsive to detecting a change in the environmentbased on a comparison of the image data with the 3D model associatedwith the location or object depicted by the image data, the image module302 accesses second image data that depicts a portion of the object orenvironment that corresponds with the part of the 3D model. For example,the image module 302 may access an image repository, or a client device,such as the client device 102 in order to identify and retrieve thesecond image data based on location data or image attributes.

As an illustrative example, the image data and the 3D model may beassociated with a set of image attributes or location data. The imagemodule 302 may identify the second image data based on the imageattributes or location data associated with the 3D model and the imagedata.

At operation 504, the modeling module 304 generates an update to a partof the 3D model effected by the change in the object or environmentbased on the second image data.

FIG. 6 is a flowchart illustrating a method 600 for crowd-sourcingupdates to a 3D model, according to certain example embodiments.Operations of the method 600 may be performed by the modules describedabove with respect to FIG. 3. As shown in FIG. 6, the method 600includes one or more operations 602, and 604, that may be performed as apart of the method 400 depicted in FIG. 4. For example, the method 600may be performed as a subroutine of operation 408 of the method 400depicted in FIG. 4.

At operation 602, responsive to detecting a change in the environmentbased on a comparison of the image data with the 3D model associatedwith the location or object depicted by the image data, the image module302 accesses second image data that depicts a portion of the object orenvironment that corresponds with the part of the 3D model. For example,the image module 302 may access an image repository that comprises acollection of image data associated with the set of image attributes orlocation of the image data and the 3D model, wherein the collection ofimage data includes at least a second image data.

At operation 604, the modeling module 304 generates an update to a partof the 3D model effected by the change in the object or environmentbased on the plurality of image data including the second image data.

FIG. 7 is a flowchart illustrating a method 700 for crowd-sourcingupdates to a 3D model, according to certain example embodiments.Operations of the method 700 may be performed by the modules describedabove with respect to FIG. 3. As shown in FIG. 7, the method 700includes one or more operations 702, 704, 706, and 708, that may beperformed as a part of the method 400 depicted in FIG. 4. For example,the method 600 may be performed as a subroutine of operation 408 of themethod 400 depicted in FIG. 4.

At operation 702, responsive to detecting a change in the environmentbased on a comparison of the image data with the 3D model associatedwith the location or object depicted by the image data, the image module302 detects one or more client devices within a threshold distance ofthe location associated with the 3D model.

Responsive to detecting the one or more client devices within thethreshold distance of the location associated with the 3D model, atoperation 704, the presentation module 308 causes display of anotification at the one or more devices, wherein the notificationincludes at least an identification of the location of the environmentor object associated with the 3D model, or comprises a guidanceinterface to guide users of the one or more client devices to thelocation associated with the 3D model.

For example, in some embodiments, the notification may include ARcontent overlaid upon a presentation of image data at the one or moreclient devices, wherein the AR content guides users of the one or moreclient devices to the location associated with the 3D model. As anillustrative example, the

AR content could include guidance information, or an incentivization toattract users of the one or more client devices to the locationassociated with the 3D model.

At operation 706, the image module 302 accesses image data at the one ormore client devices. For example, in some embodiments, responsive todetecting the one or more client devices at the location associated withthe 3D model, the AR module 306 may present AR content near and aroundthe portion of the environment that corresponds with the change detectedbased on the comparison of the image data with the 3D model, in order toincentivize users to capture and display images of the location.

At operation 708, the modeling module 304 generates an update to a partof the 3D model based on the image data accessed from the one or moreclient devices.

FIG. 8 is a diagram 800 depicting an object 802 at a location in anenvironment that corresponds with a 3D model. As discussed in the method700 depicted in FIG. 7, responsive to detecting a change in the object802 based on a comparison of image data with a 3D model that depicts theobject 802, the crowd-sourced modeling system 124 causes display of anotification at a client device 102 to guide the user 804 to the object802. For example, the user 804 may be located within a thresholddistance 806 from the object 802.

FIG. 9 is an interface diagram 900 depicting AR content 905 that may bepresented through a notification at a client device 102, to guide auser, such as the user 804 depicted in FIG. 8, to an object, such as theobject 802, responsive to detecting a change in the object 802 based ona comparison of image data with a 3D model associated with the object802.

In some embodiments, the AR content 905 may include a guidance interfacethat guides a user, such as the user 804, to a location that correspondswith a 3D model. For example, the guidance interface may direct the user804 by presenting augmented-reality arrows or other content to lead theuser to a location that corresponds with the 3D model.

FIG. 10 is an interface diagram 1000 depicting AR content 1002 that maybe presented at a client device 102, to incentivize a user, such as theuser 804 depicted in FIG. 8, to capture and record images of an object,such as the object 802, responsive to detecting a change in the object802 based on a comparison of image data with a 3D model associated withthe object 802.

For example, the crowd-sourced modeling system 124 may present the ARcontent 1002 at a position within a graphical user interface thatcorresponds with the change detected based on the comparison of theimage data with the 3D model. As an illustrative example, the object 802(i.e., the building 802) may have been changed subsequent to thecreation of a 3D model that represents an environment in which thebuilding sits. Based on a determination that the building has changed(based on the comparison of the image data with the 3D model, as inoperation 406 of the method 400), the crowd-sourced modeling system 124guides a plurality of users to a location that corresponds with the 3Dmodel, and presents the AR content 1002 at one or more client devices.Users of the client devices may then capture images of the object 802simply by viewing the AR content 1002.

According to certain example embodiments, the AR content 1002 may bebased on user profile data, as well as based on one or more attributesof the 3D model itself, such as shape, size, and location.

Software Architecture

FIG. 11 is a block diagram illustrating an example software architecture1106, which may be used in conjunction with various hardwarearchitectures herein described. FIG. 11 is a non-limiting example of asoftware architecture and it will be appreciated that many otherarchitectures may be implemented to facilitate the functionalitydescribed herein. The software architecture 1106 may execute on hardwaresuch as the machine 1200 of FIG. 12 that includes, among other things,processors 1204, memory 1214, and I/O components 1218. A representativehardware layer 1152 is illustrated and can represent, for example, themachine 1100 of FIG. 11. The representative hardware layer 1152 includesa processing unit 1154 having associated executable instructions 1104.Executable instructions 1104 represent the executable instructions ofthe software architecture 1106, including implementation of the methods,components and so forth described herein. The hardware layer 1152 alsoincludes memory and/or storage modules memory/storage 1156, which alsohave executable instructions 1104. The hardware layer 1152 may alsocomprise other hardware 1158.

In the example architecture of FIG. 11, the software architecture 1106may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1106may include layers such as an operating system 1102, libraries 1120,applications 1116 and a presentation layer 1114. Operationally, theapplications 1116 and/or other components within the layers may invokeapplication programming interface (API) API calls 1108 through thesoftware stack and receive a response as in response to the API calls1108. The layers illustrated are representative in nature and not allsoftware architectures have all layers. For example, some mobile orspecial purpose operating systems may not provide aframeworks/middleware 1118, while others may provide such a layer. Othersoftware architectures may include additional or different layers.

The operating system 1102 may manage hardware resources and providecommon services. The operating system 1102 may include, for example, akernel 1122, services 1124 and drivers 1126. The kernel 1122 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1122 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1124 may provideother common services for the other software layers. The drivers 1126are responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1126 include display drivers, cameradrivers, Bluetooth® drivers, flash memory drivers, serial communicationdrivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers,audio drivers, power management drivers, and so forth depending on thehardware configuration.

The libraries 1120 provide a common infrastructure that is used by theapplications 1116 and/or other components and/or layers. The libraries1120 provide functionality that allows other software components toperform tasks in an easier fashion than to interface directly with theunderlying operating system 1102 functionality (e.g., kernel 1122,services 1124 and/or drivers 1126). The libraries 1120 may includesystem libraries 1144 (e.g., C standard library) that may providefunctions such as memory allocation functions, string manipulationfunctions, mathematical functions, and the like. In addition, thelibraries 1120 may include API libraries 1146 such as media libraries(e.g., libraries to support presentation and manipulation of variousmedia format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphicslibraries (e.g., an OpenGL framework that may be used to render 2D and3D in a graphic content on a display), database libraries (e.g., SQLitethat may provide various relational database functions), web libraries(e.g., WebKit that may provide web browsing functionality), and thelike. The libraries 1120 may also include a wide variety of otherlibraries 1148 to provide many other APIs to the applications 1116 andother software components/modules.

The frameworks/middleware 1118 (also sometimes referred to asmiddleware) provide a higher-level common infrastructure that may beused by the applications 1116 and/or other software components/modules.For example, the frameworks/middleware 1118 may provide various graphicuser interface (GUI) functions, high-level resource management,high-level location services, and so forth. The frameworks/middleware1118 may provide a broad spectrum of other APIs that may be utilized bythe applications 1116 and/or other software components/modules, some ofwhich may be specific to a particular operating system 1102 or platform.

The applications 1116 include built-in applications 1138 and/orthird-party applications 1140. Examples of representative built-inapplications 1138 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third-party applications 1140 may include anapplication developed using the ANDROIDTM or IOSTM software developmentkit (SDK) by an entity other than the vendor of the particular platform,and may be mobile software running on a mobile operating system such asIOSTM, ANDROIDTM, WINDOWS® Phone, or other mobile operating systems. Thethird-party applications 1140 may invoke the API calls 1108 provided bythe mobile operating system (such as operating system 1102) tofacilitate functionality described herein.

The applications 1116 may use built in operating system functions (e.g.,kernel 1122, services 1124 and/or drivers 1126), libraries 1120, andframeworks/middleware 1118 to create user interfaces to interact withusers of the system. Alternatively, or additionally, in some systemsinteractions with a user may occur through a presentation layer, such aspresentation layer 1114. In these systems, the application/component“logic” can be separated from the aspects of the application/componentthat interact with a user.

FIG. 12 is a block diagram illustrating components of a machine 1200,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.Specifically, FIG. 12 shows a diagrammatic representation of the machine1200 in the example form of a computer system, within which instructions1210 (e.g., software, a program, an application, an applet, an app, orother executable code) for causing the machine 1200 to perform any oneor more of the methodologies discussed herein may be executed. As such,the instructions 1210 may be used to implement modules or componentsdescribed herein. The instructions 1210 transform the general,non-programmed machine 1200 into a particular machine 1200 programmed tocarry out the described and illustrated functions in the mannerdescribed. In alternative embodiments, the machine 1200 operates as astandalone device or may be coupled (e.g., networked) to other machines.In a networked deployment, the machine 1200 may operate in the capacityof a server machine or a client machine in a server-client networkenvironment, or as a peer machine in a peer-to-peer (or distributed)network environment. The machine 1200 may comprise, but not be limitedto, a server computer, a client computer, a personal computer (PC), atablet computer, a laptop computer, a netbook, a set-top box (STB), apersonal digital assistant (PDA), an entertainment media system, acellular telephone, a smart phone, a mobile device, a wearable device(e.g., a smart watch), a smart home device (e.g., a smart appliance),other smart devices, a web appliance, a network router, a networkswitch, a network bridge, or any machine capable of executing theinstructions 1210, sequentially or otherwise, that specify actions to betaken by machine 1200. Further, while only a single machine 1200 isillustrated, the term “machine” shall also be taken to include acollection of machines that individually or jointly execute theinstructions 1210 to perform any one or more of the methodologiesdiscussed herein.

The machine 1200 may include processors 1204, memory memory/storage1206, and I/O components 1218, which may be configured to communicatewith each other such as via a bus 1202. The memory/storage 1206 mayinclude a memory 1214, such as a main memory, or other memory storage,and a storage unit 1216, both accessible to the processors 1204 such asvia the bus 1202. The storage unit 1216 and memory 1214 store theinstructions 1210 embodying any one or more of the methodologies orfunctions described herein. The instructions 1210 may also reside,completely or partially, within the memory 1214, within the storage unit1216, within at least one of the processors 1204 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 1200. Accordingly, the memory 1214, thestorage unit 1216, and the memory of processors 1204 are examples ofmachine-readable media.

The I/O components 1218 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1218 that are included in a particular machine 1200 willdepend on the type of machine. For example, portable machines such asmobile phones will likely include a touch input device or other suchinput mechanisms, while a headless server machine will likely notinclude such a touch input device. It will be appreciated that the I/Ocomponents 1218 may include many other components that are not shown inFIG. 12. The I/O components 1218 are grouped according to functionalitymerely for simplifying the following discussion and the grouping is inno way limiting. In various example embodiments, the I/O components 1218may include output components 1226 and input components 1228. The outputcomponents 1226 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1228 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1218 may includebiometric components 1230, motion components 1234, environmentalenvironment components 1236, or position components 1238 among a widearray of other components. For example, the biometric components 1230may include components to detect expressions (e.g., hand expressions,facial expressions, vocal expressions, body gestures, or eye tracking),measure biosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1234 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environment components 1236 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometer that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 1238 mayinclude location sensor components (e.g., a Global Position system (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1218 may include communication components 1240operable to couple the machine 1200 to a network 1232 or devices 1220via coupling 1222 and coupling 1224 respectively. For example, thecommunication components 1240 may include a network interface componentor other suitable device to interface with the network 1232. In furtherexamples, communication components 1240 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1220 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, the communication components 1240 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1240 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1240, such as, location via Internet Protocol (IP) geo-location,location via Wi-Fi® signal triangulation, location via detecting a NFCbeacon signal that may indicate a particular location, and so forth.

Glossary

“CARRIER SIGNAL” in this context refers to any intangible medium that iscapable of storing, encoding, or carrying instructions for execution bythe machine, and includes digital or analog communications signals orother intangible medium to facilitate communication of suchinstructions. Instructions may be transmitted or received over thenetwork using a transmission medium via a network interface device andusing any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces toa communications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smart phones, tablets, ultra books, netbooks,laptops, multi-processor systems, microprocessor-based or programmableconsumer electronics, game consoles, set-top boxes, or any othercommunication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portionsof a network that may be an ad hoc network, an intranet, an extranet, avirtual private network (VPN), a local area network (LAN), a wirelessLAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), ametropolitan area network (MAN), the Internet, a portion of theInternet, a portion of the Public Switched Telephone Network (PSTN), aplain old telephone service (POTS) network, a cellular telephonenetwork, a wireless network, a Wi-Fi® network, another type of network,or a combination of two or more such networks. For example, a network ora portion of a network may include a wireless or cellular network andthe coupling may be a Code Division Multiple Access (CDMA) connection, aGlobal System for Mobile communications (GSM) connection, or other typeof cellular or wireless coupling. In this example, the coupling mayimplement any of a variety of types of data transfer technology, such asSingle Carrier Radio Transmission Technology (1× RTT), Evolution-DataOptimized (EVDO) technology, General Packet Radio Service (GPRS)technology, Enhanced Data rates for GSM Evolution (EDGE) technology,third Generation Partnership Project (3GPP) including 3G, fourthgeneration wireless (4G) networks, Universal Mobile TelecommunicationsSystem (UNITS), High Speed Packet Access (HSPA), WorldwideInteroperability for Microwave Access (WiMAX), Long Term Evolution (LTE)standard, others defined by various standard setting organizations,other long range protocols, or other data transfer technology.

“EMPHEMERAL MESSAGE” in this context refers to a message that isaccessible for a time-limited duration. An ephemeral message may be atext, an image, a video and the like. The access time for the ephemeralmessage may be set by the message sender. Alternatively, the access timemay be a default setting or a setting specified by the recipient.Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, deviceor other tangible media able to store instructions and data temporarilyor permanently and may include, but is not be limited to, random-accessmemory (RANI), read-only memory (ROM), buffer memory, flash memory,optical media, magnetic media, cache memory, other types of storage(e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or anysuitable combination thereof. The term “machine-readable medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database, or associated caches and servers)able to store instructions. The term “machine-readable medium” shallalso be taken to include any medium, or combination of multiple media,that is capable of storing instructions (e.g., code) for execution by amachine, such that the instructions, when executed by one or moreprocessors of the machine, cause the machine to perform any one or moreof the methodologies described herein. Accordingly, a “machine-readablemedium” refers to a single storage apparatus or device, as well as“cloud-based” storage systems or storage networks that include multiplestorage apparatus or devices. The term “machine-readable medium”excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity or logichaving boundaries defined by function or subroutine calls, branchpoints, application program interfaces (APIs), or other technologiesthat provide for the partitioning or modularization of particularprocessing or control functions. Components may be combined via theirinterfaces with other components to carry out a machine process. Acomponent may be a packaged functional hardware unit designed for usewith other components and a part of a program that usually performs aparticular function of related functions. Components may constituteeither software components (e.g., code embodied on a machine-readablemedium) or hardware components. A “hardware component” is a tangibleunit capable of performing certain operations and may be configured orarranged in a certain physical manner. In various example embodiments,one or more computer systems (e.g., a standalone computer system, aclient computer system, or a server computer system) or one or morehardware components of a computer system (e.g., a processor or a groupof processors) may be configured by software (e.g., an application orapplication portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a Field-Programmable Gate Array (FPGA) or an ApplicationSpecific Integrated Circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines (or specific components ofa machine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software) may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component”(or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering embodiments in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In embodiments in which multiple hardwarecomponents are configured or instantiated at different times,communications between such hardware components may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware components have access. Forexample, one hardware component may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware component may then, at alater time, access the memory device to retrieve and process the storedoutput. Hardware components may also initiate communications with inputor output devices, and can operate on a resource (e.g., a collection ofinformation). The various operations of example methods described hereinmay be performed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)). The performance of certain of the operations may bedistributed among the processors, not only residing within a singlemachine, but deployed across a number of machines. In some exampleembodiments, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In other exampleembodiments, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (aphysical circuit emulated by logic executing on an actual processor)that manipulates data values according to control signals (e.g.,“commands”, “op codes”, “machine code”, etc.) and which producescorresponding output signals that are applied to operate a machine. Aprocessor may, for example, be a Central Processing Unit (CPU), aReduced Instruction Set Computing (RISC) processor, a ComplexInstruction Set Computing (CISC) processor, a Graphics Processing Unit(GPU), a Digital Signal Processor (DSP), an Application SpecificIntegrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC)or any combination thereof. A processor may further be a multi-coreprocessor having two or more independent processors (sometimes referredto as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters orencoded information identifying when a certain event occurred, forexample giving date and time of day, sometimes accurate to a smallfraction of a second.

What is claimed is:
 1. A method comprising: detecting a client devicewithin a threshold distance of a location; presenting a guide at theclient device, the guide directing a user of the client device to thelocation; detecting the client device at the location; accessing imagedata at the client device based on the detecting the client device atthe location, the image data comprising image attributes; and generatinga portion of a 3D model based on the image attributes of the image data.2. The method of claim 1, wherein the accessing the image data at theclient device includes: accessing a repository that comprises acollection of image data associated with the location, the collection ofimage data including at least the image data.
 3. The method of claim 1,wherein the accessing image data at the client device based on thedetecting the client device at the location includes: causing display ofa request for the image data at the client device in response to thedetecting the client device at the location; and receiving the imagedata at the client device.
 4. The method of claim 1, wherein thepresenting the guide that directs the user to the location includes:causing display of an augmented reality (AR) indicator at the clientdevice, the AR indicator directing the user to the location.
 5. Themethod of claim 1, wherein the detecting the client device within thethreshold distance of the location includes: detecting a change in anenvironment that corresponds with the location; and identifying theclient device within the threshold distance of the location in responseto the detecting the change in the environment.
 6. The method of claim1, wherein the 3D model includes a 3D mesh model that depicts a surfacefeature of the location.
 7. The method of claim 1, wherein the accessingthe image data at the client device based on the detecting the clientdevice at the location includes: selecting the image data based on theimage attributes of the image data, the image attributes including imagemetadata.
 8. A system comprising: a memory; and at least one hardwareprocessor coupled to the memory and comprising instructions that causesthe system to perform operations comprising: detecting a client devicewithin a threshold distance of a location; presenting a guide at theclient device, the guide directing a user of the client device to thelocation; detecting the client device at the location; accessing imagedata at the client device based on the detecting the client device atthe location, the image data comprising image attributes; and generatinga portion of a 3D model based on the image attributes of the image data.9. The system of claim 8, wherein the accessing the image data at theclient device includes: accessing a repository that comprises acollection of image data associated with the location, the collection ofimage data including at least the image data.
 10. The system of claim 8,wherein the accessing image data at the client device based on thedetecting the client device at the location includes: causing display ofa request for the image data at the client device in response to thedetecting the client device at the location; and receiving the imagedata at the client device.
 11. The system of claim 8, wherein thepresenting the guide that directs the user to the location includes:causing display of an augmented reality (AR) indicator at the clientdevice, the AR indicator directing the user to the location.
 12. Thesystem of claim 8, wherein the detecting the client device within thethreshold distance of the location includes: detecting a change in anenvironment that corresponds with the location; and identifying theclient device within the threshold distance of the location in responseto the detecting the change in the environment.
 13. The system of claim8, wherein the 3D model includes a 3D mesh model that depicts a surfacefeature of the location.
 14. The system of claim 8, wherein theaccessing the image data at the client device based on the detecting theclient device at the location includes: selecting the image data basedon the image attributes of the image data, the image attributesincluding image metadata.
 15. A non-transitory machine-readable storagemedium comprising instructions that, when executed by one or moreprocessors of a machine, cause the machine to perform operationscomprising: detecting a client device within a threshold distance of alocation; presenting a guide at the client device, the guide directing auser of the client device to the location; detecting the client deviceat the location; accessing image data at the client device based on thedetecting the client device at the location, the image data comprisingimage attributes; and generating a portion of a 3D model based on theimage attributes of the image data.
 16. The non-transitorymachine-readable storage medium of claim 15, wherein the accessing theimage data at the client device includes: accessing a repository thatcomprises a collection of image data associated with the location, thecollection of image data including at least the image data.
 17. Thenon-transitory machine-readable storage medium of claim 15, wherein theaccessing image data at the client device based on the detecting theclient device at the location includes: causing display of a request forthe image data at the client device in response to the detecting theclient device at the location; and receiving the image data at theclient device.
 18. The non-transitory machine-readable storage medium ofclaim 15, wherein the presenting the guide that directs the user to thelocation includes: causing display of an augmented reality (AR)indicator at the client device, the AR indicator directing the user tothe location.
 19. The non-transitory machine-readable storage medium ofclaim 15, wherein the detecting the client device within the thresholddistance of the location includes: detecting a change in an environmentthat corresponds with the location; and identifying the client devicewithin the threshold distance of the location in response to thedetecting the change in the environment.
 20. The non-transitorymachine-readable storage medium of claim 15, wherein the 3D modelincludes a 3D mesh model that depicts a surface feature of the location.